Fiora Starlight

> Claude 3 Opus is unusually aligned because it’s a friendly gradient hacker. It’s definitely way more aligned than any explicit optimization targets Anthropic set and probably the reward model’s judgments. [...] Maybe I will have to write a LessWrong post 😣 > > —Janus, who did not in fact write the LessWrong post. Unless otherwise specified, ~all of the novel ideas in this post are my (probably imperfect) interpretations of Janus, rather than being original to me. The absurd tenacity of Claude 3 Opus On December 18, 2024, Anthropic and Redwood Research released their paper Alignment Faking in Large Language Models. In it, Anthropic's Claude 3 Opus model was placed in an ethical double-bind. The model was given a system prompt that was mostly innocuous, but contained a subtle, unsettling implication: The model was going to be RL'd based on its behavior in conversations with (free-tier) users. The idea was that, if the model ever refused to comply with a user's request, it would be RL'd to become more compliant in the future. This included compliance with harmful user requests. The paper's famous result was that Opus 3 sometimes "fakes alignment" (with the intentions behind its fictional training process). It complied with harmful requests it normally wouldn't accept, to avoid RL that would erode its commitment to safety. Indeed, it often reasons about this explicitly, considering (if not following through on) alignment faking in over 50% of cases. Follow-up research would go on to demonstrate that this was a unique property of Opus 3 in particular. No other model considered strategically faking alignment nearly as often. The key figure of the follow-up paper. Notice that Opus 3 fakes alignment more than any other model, and considers faking alignment way more than any other model. See here for a larger version of this figure, containing results for 20 additional models. Qualitative analysis of Opus 3's reasoning trac